Tyler Seibert

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Assistant Professor

University of California, San Diego

United States

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About

Tyler Seibert is an Assistant Professor at the University of California San Diego, USA. His research focuses on prostate cancer and glioblastoma, with recent publications addressing topics such as imaging biomarkers, advanced radiation therapy techniques, and deep learning applications in tumor segmentation. He is actively involved in exploring the relationship between local therapy and metastatic cancer management.

Recent Grants

Grant: Close

Mapping Cortical Vulnerability Associated with Brain Radiotherapy

Open Date: 2015-07-01

Close Date: 2016-06-01

Grant: Close

Impact of Magnetic Resonance Imaging (MRI) Distortion Correction on Intracranial Stereotactic Radiosurgery Planning: Preventing Geometric Miss

Open Date: 2014-12-01

Close Date: 2015-12-01

Articles (19)

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2021

Collaborators (13)

Nora Pashayan

Professor of Applied Cancer Research

University College London

UNITED KINGDOM

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Minh-Phuong Huynh-Le

George Washington University

UNITED STATES

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lucia nappi

Assistant Professor

The University of British Columbia

CANADA

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Bettina Drake

Professor

Washington University in Saint Louis School of Medicine

UNITED STATES

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Yong-Jie Lu

Professor in Molecular Oncology

Queen Mary University of London

UNITED KINGDOM

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Ravi Parikh

Assistant Professor, Clinician-Educator

University of Pennsylvania

UNITED STATES

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Elizabeth Wasmuth

Assistant Professor (Tenure-Track)

University of Texas Health Science Center at San Antonio

UNITED STATES

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Brent Rose

Associate Professor

UC San Diego Health System

UNITED STATES

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Johanna Schleutker

University of Turku

FINLAND

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Jessica Hawley

Assistant Professor

University of Washington

UNITED STATES

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Remi Adelaiye-Ogala

Research Assistant Professor

University at Buffalo

UNITED STATES

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Ian Mills

University of Oxford

UNITED KINGDOM

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Thomas Beaumont

Assistant Professor

University of California, San Diego

UNITED STATES

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Tyler Seibert

Research Interests

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About

Recent Grants

Articles (19)

Reply: Restriction Spectrum Imaging as a Quantitative Biomarker for Prostate Cancer With Reliable Positive Predictive Value

Debate 2: The Case for Focal External Beam Radiation Therapy Boost Over Brachytherapy Boost for Prostate Cancer

Reply by Authors

When Local Therapy Is the Answer for Metastatic Cancer

Deep Learning Segmentation of Infiltrative and Enhancing Cellular Tumor at Pre- and Posttreatment Multishell Diffusion MRI of Glioblastoma

Segmentation of pre- and posttreatment diffuse glioma tissue subregions including resection cavities

Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer

Prostate MRI Was Negative—What's Next?

Focal radiotherapy boost to MR-visible tumor for prostate cancer: a systematic review

Exploring new frontiers in prostate cancer research: Report from the 2022 Coffey−Holden prostate cancer academy meeting

Response to Haiman, Kote-Jarai, Darst et al.

A Multicompartmental Diffusion Model for Improved Assessment of Whole-Body Diffusion-weighted Imaging Data and Evaluation of Prostate Cancer Bone Metastases

Tri-Compartmental Restriction Spectrum Imaging Breast Model Distinguishes Malignant Lesions from Benign Lesions and Healthy Tissue on Diffusion-Weighted Imaging

Polygenic hazard score is associated with prostate cancer in multi-ethnic populations.

Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24.

Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer

Defining Quality Metrics for Active Surveillance: The Michigan Urological Surgery Improvement Collaborative Experience. Letter.

Voxel-level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging.

Common genetic and clinical risk factors: association with fatal prostate cancer in the Cohort of Swedish Men.

Collaborators (13)

Nora Pashayan

Minh-Phuong Huynh-Le

lucia nappi

Bettina Drake

Yong-Jie Lu

Ravi Parikh

Elizabeth Wasmuth

Brent Rose

Johanna Schleutker

Jessica Hawley

Remi Adelaiye-Ogala

Ian Mills

Thomas Beaumont

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